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ICML
1994
IEEE
15 years 10 months ago
Greedy Attribute Selection
Many real-world domains bless us with a wealth of attributes to use for learning. This blessing is often a curse: most inductive methods generalize worse given too many attributes...
Rich Caruana, Dayne Freitag
ICCV
2003
IEEE
16 years 8 months ago
A Non-Iterative Greedy Algorithm for Multi-frame Point Correspondence
This paper presents a framework for finding point correspondences in monocular image sequences over multiple frames. The general problem of multi-frame point correspondence is NP ...
Khurram Shafique, Mubarak Shah
ICPR
2006
IEEE
16 years 7 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
EPIA
1993
Springer
15 years 10 months ago
A Uniform Framework for Deductive Database Derivation Strategies
A uniform framework is presented to describe the most typical strategies that are used to compute answers to Deductive Databases. The framework is based on the definition of a ge...
Robert Demolombe
KDD
2008
ACM
274views Data Mining» more  KDD 2008»
16 years 6 months ago
Data mining using high performance data clouds: experimental studies using sector and sphere
We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. By a cloud, we mean an infrastruc...
Robert L. Grossman, Yunhong Gu